{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "MOD29E1D.A2000055.006.2015040211331.hdf.ipynb",
      "version": "0.3.2",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "metadata": {
        "id": "evLwP5ALVdlR",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "!apt-get install build-essential python3-dev python3-numpy libhdf4-dev -y\n",
        "!pip install git+https://github.com/hdfeos/pyhdf.git\n",
        "!pip install matplotlib\n",
        "!apt install proj-bin libproj-dev libgeos-dev\n",
        "!pip install https://github.com/matplotlib/basemap/archive/v1.2.0rel.tar.gz\n",
        "!pip install pyproj==1.9.6\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "IIc42SCVdL7h",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "import os\n",
        "import re\n",
        "import pyproj\n",
        "import numpy as np\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from google.colab import files\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "from pyhdf.SD import SD, SDC\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "LCKrPnenmbKg",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Upload HDF-EOS2 MODIS file."
      ]
    },
    {
      "metadata": {
        "id": "_iPQr_E7kFZp",
        "colab_type": "code",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": "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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": "OK"
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 89
        },
        "outputId": "356ce79d-b887-4113-c552-a6e69e0e07f6"
      },
      "cell_type": "code",
      "source": [
        "uploaded = files.upload()\n",
        "\n",
        "for fn in uploaded.keys():\n",
        "  print('User uploaded file \"{name}\" with length {length} bytes'.format(\n",
        "      name=fn, length=len(uploaded[fn])))"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-024c15a0-34a7-4450-a08b-b1705490b0a5\" name=\"files[]\" multiple disabled />\n",
              "     <output id=\"result-024c15a0-34a7-4450-a08b-b1705490b0a5\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving MOD29E1D.A2000055.006.2015040211331.hdf to MOD29E1D.A2000055.006.2015040211331.hdf\n",
            "User uploaded file \"MOD29E1D.A2000055.006.2015040211331.hdf\" with length 1626286 bytes\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "Qvva9PbIkOtR",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 292
        },
        "outputId": "d2eb229f-e777-4ddf-d67b-61dc064b35a1"
      },
      "cell_type": "code",
      "source": [
        "FILE_NAME = 'MOD29E1D.A2000055.006.2015040211331.hdf'\n",
        "DATAFIELD_NAME = 'Sea_Ice_by_Reflectance_NP'\n",
        "hdf = SD(FILE_NAME, SDC.READ)\n",
        "\n",
        "# Read dataset.\n",
        "data2D = hdf.select(DATAFIELD_NAME)\n",
        "data = data2D[:, :].astype(np.float64)\n",
        "\n",
        "# Read global attribute.\n",
        "fattrs = hdf.attributes(full=1)\n",
        "ga = fattrs[\"StructMetadata.0\"]\n",
        "gridmeta = ga[0]\n",
        "\n",
        "# Construct the grid.  The needed information is in a global attribute\n",
        "# called 'StructMetadata.0'.  Use regular expressions to tease out the\n",
        "# extents of the grid.\n",
        "ul_regex = re.compile(r'''UpperLeftPointMtrs=\\(\n",
        "(?P<upper_left_x>[+-]?\\d+\\.\\d+)\n",
        ",\n",
        "(?P<upper_left_y>[+-]?\\d+\\.\\d+)\n",
        "\\)''', re.VERBOSE)\n",
        "match = ul_regex.search(gridmeta)\n",
        "x0 = np.float(match.group('upper_left_x'))\n",
        "y0 = np.float(match.group('upper_left_y'))\n",
        "\n",
        "lr_regex = re.compile(r'''LowerRightMtrs=\\(\n",
        "(?P<lower_right_x>[+-]?\\d+\\.\\d+)\n",
        ",\n",
        "(?P<lower_right_y>[+-]?\\d+\\.\\d+)\n",
        "\\)''', re.VERBOSE)\n",
        "match = lr_regex.search(gridmeta)\n",
        "x1 = np.float(match.group('lower_right_x'))\n",
        "y1 = np.float(match.group('lower_right_y'))\n",
        "\n",
        "ny, nx = data.shape\n",
        "x = np.linspace(x0, x1, nx)\n",
        "y = np.linspace(y0, y1, ny)\n",
        "xv, yv = np.meshgrid(x, y)\n",
        "\n",
        "# Reproject the coordinates out of lamaz into lat/lon.\n",
        "lamaz = pyproj.Proj(\"+proj=laea +a=6371228 +lat_0=90 +lon_0=0 +units=m\")\n",
        "wgs84 = pyproj.Proj(\"+init=EPSG:4326\")\n",
        "lon, lat = pyproj.transform(lamaz, wgs84, xv, yv)\n",
        "\n",
        "# Use a south polar azimuthal equal area projection.\n",
        "m = Basemap(projection='nplaea', resolution='l',\n",
        "            boundinglat=20, lon_0=180)\n",
        "m.drawcoastlines(linewidth=0.5)\n",
        "m.drawparallels(np.arange(-90, 0, 15), labels=[1, 0, 0, 0])\n",
        "m.drawmeridians(np.arange(-180, 180, 45), labels=[0, 0, 0, 1])\n",
        "\n",
        "# Use a discretized colormap since we have only a few levels.\n",
        "# 0=missing data\n",
        "# 1=no decision\n",
        "# 11=night\n",
        "# 25=land\n",
        "# 37=inland water\n",
        "# 39=ocean\n",
        "# 50=cloud\n",
        "# 200=sea ice\n",
        "# 253=no input tile expected\n",
        "# 254=non-production mask\"\n",
        "lst = ['#727272',\n",
        "       '#b7b7b7',\n",
        "       '#ffff96',\n",
        "       '#00ff00',\n",
        "       '#232375',\n",
        "       '#232375',\n",
        "       '#63c6ff',\n",
        "       '#ff0000',\n",
        "       '#3f3f3f',\n",
        "       '#373737',\n",
        "       '#000000']\n",
        "cmap = mpl.colors.ListedColormap(lst)\n",
        "bounds = [0, 1, 11, 25, 37, 39, 50, 200, 253, 254, 255]\n",
        "norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n",
        "\n",
        "# Render only a subset of the mesh.\n",
        "rows = slice(500, 4000, 5)\n",
        "cols = slice(500, 4000, 5)\n",
        "m.pcolormesh(lon[rows, cols], lat[rows, cols], data[rows, cols],\n",
        "             latlon=True, cmap=cmap, norm=norm)\n",
        "color_bar = plt.colorbar()\n",
        "color_bar.set_ticks([0.5, 5.5, 18, 31,\n",
        "                     38, 44.5, 125, 226.5,\n",
        "                     253.5,\n",
        "                     254.5])\n",
        "color_bar.set_ticklabels(['missing', 'no decision', 'night', 'land',\n",
        "                          'inland water', 'ocean', 'cloud', 'sea ice',\n",
        "                          'no input tile\\nexpected',\n",
        "                          'non-production\\nmask'])\n",
        "color_bar.draw_all()\n",
        "\n",
        "basename = os.path.basename(FILE_NAME)\n",
        "long_name = DATAFIELD_NAME\n",
        "\n",
        "plt.title('{0}\\n{1}'.format(basename, long_name))\n",
        "fig = plt.gcf()\n",
        "pngfile = \"{0}.py.png\".format(basename)\n",
        "fig.savefig(pngfile)\n"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXgAAAETCAYAAAA8rh0/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}